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Code for generating empirical XYG-form based DFAs and assessing their transferability based on the "Identifying and embedding transferability in data-driven representations of chemical space" paper of Gould, Chan, Dale, Vuckovic

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vuckovic-lab/transferability

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Code for generating empirical XYG-form based DFAs and assessing their transferability based on the "Identifying and embedding transferability in data-driven representations of chemical space" paper of Gould, Chan, Dale, Vuckovic

Overview

The read.ipynb Jupyter notebook included in this repository provides pedagogical instructions on how to use the code within a Jupyter notebook environment.

Quickstart

Clone this repository and install the required dependencies to run the notebooks:

git clone https://github.com/vuckovic-lab/transferability.git
cd transferability
pip install -r requirements.txt

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Code for generating empirical XYG-form based DFAs and assessing their transferability based on the "Identifying and embedding transferability in data-driven representations of chemical space" paper of Gould, Chan, Dale, Vuckovic

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